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Record W4406406437 · doi:10.1080/10401334.2024.2447295

Re-Imagining the Patient Panel: Introducing Lived Experiences of Psychosis into the Pre-clerkship Psychiatry Curriculum of a Canadian Medical School

2025· article· en· W4406406437 on OpenAlexafffundabout
Sacha Agrawal, Moshe Sakal, Anne Borrelly

Bibliographic record

VenueTeaching and Learning in Medicine · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMental Health Research CanadaUniversity of TorontoCentre for Addiction and Mental Health
FundersDepartment of Psychiatry, University of Toronto
KeywordsCurriculumMedical educationPsychosisMedical schoolPsychologyPsychiatryMedicinePedagogy

Abstract

fetched live from OpenAlex

The involvement of people with lived experience (patients) in medical education offers a unique opportunity for students and residents to access personal and collective knowledge about the lived experience of health, ill health, and medical care. Involvement also has the potential to elevate the role of people with lived experience and their knowledge within medicine by providing a model for meaningful collaboration and partnership. However, involvement has been critiqued by critical disability scholars for its potential to harm without leading to meaningful change in professional knowledge or practice. In this article, we (two educators with lived experience and an academic psychiatrist) describe the development and delivery of an annual lived-experience presentation about psychosis for the second-year class of a large, urban medical school in Canada. We describe our reflexive process attempting to enact meaningful involvement and disrupt the uneven power relations that shape and constrain this work, in a setting where the risks of exploitation, tokenism, and co-optation are significant. Our goal has been to re-imagine the "patient panel," which puts significant limits on the position of patients as knowers. By re-defining roles and shifting power from faculty to lived experience educators, we have aimed to present important non-medical ideas about psychosis and how to effectively support people who experience it, while disrupting interpersonal and structural bias.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.301
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes3
Has abstractyes

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